Understanding the Dynamics of PM2.5 Concentration Levels in China: A Comprehensive Study of Spatio-Temporal Patterns, Driving Factors, and Implications for Environmental Sustainability
Sustainability,
Год журнала:
2025,
Номер
17(4), С. 1742 - 1742
Опубликована: Фев. 19, 2025
Over
the
past
decade,
China’s
air
quality
has
improved
significantly.
To
further
mitigate
concentration
levels
of
fine
particulate
matter
(PM2.5),
this
study
analyzed
spatio-temporal
evolution
PM2.5
concentrations
from
2012
to
2022.
Furthermore,
integrated
generalized
additive
model
(GAM)
and
GeoDetector
investigate
main
driving
factors
explored
complex
response
relationships
between
these
concentrations.
The
results
showed
following:
(1)
annual
average
in
China
peaked
2013.
reductions
each
city
ranged
1.48
7.33
μg/m3.
In
year,
were
always
consistently
higher
north
east
lowest
northeast
southwest
China.
(2)
terms
spatial
distribution,
North
Plain,
Middle
Lower
Yangtze
River
Sichuan
Basin
exhibited
highest
high
aggregation
characteristics.
(3)
analysis
identified
SO2,
NO2,
CO
meteorological
conditions
as
important
influencing
differentiation
PM2.5.
GAM
that
factors,
such
temperature,
atmospheric
pressure,
wind
speed,
precipitation,
generally
had
specific
inflection
points
their
effects
on
levels.
relationship
with
gross
domestic
product
population
density
followed
an
inverted
U
shape.
under
land
use
types
cropland,
barren,
impervious,
water
than
others.
decreased
significantly
all
types.
Our
work
can
be
used
a
strong
basis
for
providing
insights
crucial
developing
long-term
pollution
control
strategies
promoting
environmental
sustainability.
Язык: Английский
Street Canyon Vegetation—Impact on the Dispersion of Air Pollutant Emissions from Road Traffic
Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10700 - 10700
Опубликована: Дек. 6, 2024
Roadside
vegetation
helps
to
retain
air
pollutants
emitted
by
road
traffic.
On
the
other
hand,
its
presence
makes
it
difficult
ventilate
street
canyons.
The
paper
examines
influence
of
on
dispersion
pollution
generated
traffic,
using
example
two
canyons—both-sided
and
one-sided
study
was
conducted
taking
into
account
actual
emission
conditions
occurring
analyzed
sections
estimated
HBEFA
methodology.
Subsequently,
a
three-dimensional
model
named
MISKAM
employed
simulate
pollutant
in
modelling
results
were
compared
with
measurement
data
from
quality
monitoring
stations
located
these
obtained
indicated
that
can
significantly
impact
traffic-related
exhaust
non-exhaust
emissions.
is
more
pronounced
case
canyon
dense,
high-rise
development
both
sides
than
such
only
one
side.
for
both-sided
demonstrate
discrepancy
between
scenario
devoid
approximately
5
µg/m3
(10%)
PM10
54
(45%)
NOx,
former
showing
lower
values
latter.
Nevertheless,
exhibited
lesser
measurements.
Vegetation
functions
as
natural
barrier,
reducing
wind
speed
canyon,
which
turn
limits
spread
air,
leading
accumulation
near
building
walls
form
canyon.
Consequently,
atmospheric
must
consider
accurately
evaluate
effects
traffic
emissions
urban
areas,
particularly
this
may
hold
importance
planning
decision-making
regarding
environmental
management
cities
aimed
at
improving
public
health.
Язык: Английский